基于GMM的嵌入式声纹识别系统

2015 10th International Conference on Computer Science & Education (ICCSE) Pub Date : 2015-07-22 DOI:10.1109/ICCSE.2015.7250214

Mao Jian, L. Yongmei

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引用次数: 4

摘要

高斯混合模型(Gaussian mixture model, GMM)是一种具有可扩展性和有效性的概率统计模型，被认为是一种适合声纹识别的建模算法。介绍了基于GMM的声纹识别过程。并设计了一种嵌入式声纹识别系统来实现智能控制。实验验证了算法和系统的性能。

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An embedded voiceprint recognition system based on GMM

Gaussian mixture model (GMM) is a kind of probability and statistics model attracted much attention for its scalability and effectiveness, which is considered to be a suitable modeling algorithm for voiceprint recognition. The process of voiceprint recognition with GMM is introduced in this paper. And an embedded voiceprint recognition system is designed for the intelligent control. The experiment demonstrates the performance of algorithm and system.

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2015 10th International Conference on Computer Science & Education (ICCSE)

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